INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Object detection is a critical task for autonomous
vehicles, enabling them to perceive and understand their
surroundings accurately and in real-time. However, traditional
object detection methods often struggle to adapt to the dynamic
nature of real-world environments, leading to performance
degradation and potential safety risks. This research proposes an
incremental learning framework for efficient object detection in
autonomous vehicles, addressing the challenges of continuous
learning and adaptation. By leveraging techniques such as
knowledge distillation, data augmentation, and regularization, the
proposed approach allows the object detection model to
incrementally learn from new data while retaining previously
acquired knowledge. The framework is designed to strike a
balance between accuracy and computational efficiency, enabling
real-time performance on embedded systems. Extensive
experiments on public datasets demonstrate the effectiveness of
the proposed method, outperforming existing approaches in terms
of detection accuracy and computational efficiency. The research
also explores practical considerations for deployment, safety, and
robustness, paving the way for reliable and adaptable object
detection in autonomous driving scenarios.
Keywords:
Object Detection, Autonomous Vehicles, Incremental Learning, Deep Learning, Knowledge Distillation, Data Augmentation, Computational Efficiency, Real-time Systems.
Cite Article:
"Incremental Learning for Efficient Object Detection in Autonomous Vehicles", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.b91-b96, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404113.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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